Abstract
In this paper, we developed an integrated multi-objective real-time controlled scheduling methodology for Dual Resource Constrained systems. The proposed methodology integrates simulation, neural network and fuzzy inference system approaches to obtain a schedule considering both state of the system and objectives. By means of a case study, we have demonstrated that the proposed methodology can be an effective tool for dynamic scheduling of DRC systems.
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Nelson, R.T.: Labor and machine limited production systems. Management Science 13, 648–671 (1967)
Treleven, M.: Applications and implementation. The timing of labor transfers in a dual resource-constrained systems: “push” vs. “pull” rules. Decision Sciences 18, 73–88 (1987)
Bobrowski, P.M., Park, P.S.: An evaluation of labor assignment rules when workers are not perfectly interchangeable. Journal of Operation Management 11, 257–268 (1993)
Malhotra, M.K., Kher, H.V.: An evaluation of worker assignment policies in dual resource-constrained job shops with heterogeneous resources and worker transfer delays. International Journal of Production Research 32, 1087–1103 (1994)
Bokhorst, J.A.C., Slomp, J., Gaalman, G.J.C.: On the who-rule in Dual Resource Constrained manufacturing systems. Int. J. Prod. Res. 42(23), 5049–5074 (2004)
Priore, P., Fuente, D., Puente, J., Parreno, J.: A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems. Engineering Applications of Artificial Intelligence 19(3), 247–255 (2006)
Kim, C.O., Kim, Y.D.: Simulation based real-time scheduling in a flexible manufacturing system. Journal of Manufacturing System 13, 85–93 (1994)
Sabuncuoğlu, I., Kızılışık, O.B.: Reactive scheduling in a dynamic and stochastic FMS environment. International Journal of Production Research 41(17), 4211–4231 (2003)
Chan, F.T.S., Chan, H.K., Lau, H.C.W., Ip, R.W.L.: Analysis of dynamic dispatching rules for a flexible manufacturing system. Journal of Material Processing Technology 138, 325–331 (2003)
Min, H.S., Yih, Y., Kim, C.O.: A competitive neural network approach to multi-objective FMS scheduling. International Journal of Production Research 36(7), 1749–1765 (1998)
Min, H.S., Yih, Y.: Selection of dispatching rules on multiple dispatching decision points in real-time scheduling of a semiconductor wafer fabrication system. International Journal of Production Research 41(16), 3921–3941 (2003)
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Araz, O.U. (2007). Real-Time Controlled Multi-objective Scheduling Through ANNs and Fuzzy Inference Systems: The Case of DRC Manufacturing. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72590-9_148
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DOI: https://doi.org/10.1007/978-3-540-72590-9_148
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72589-3
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